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Provides tools for generating and analyzing simulation studies. Users may easily specify all terms of a simulation study, often in a single line of code. Common univariate and bivariate methods, such as t tests, proportions tests, and chi squared tests, are integrated. Multivariate studies involving linear or logistic regression may also be specified with symbolic inputs. The simulation studies generate data for n observations in each of B experiments. Analyses of each experiment are integrated, and empirical results across the experiments are also provided.
| Version: | 0.0.7 |
| Depends: | R (≥ 3.1.0) |
| Imports: | data.table |
| Suggests: | knitr, rmarkdown, covr, devtools, markdown, formatR, testthat (≥ 3.0.0) |
| Published: | 2023-09-22 |
| Author: | David Shilane [aut], Srivastav Budugutta [ctb, cre], Mayur Bansal [ctb] |
| Maintainer: | Srivastav Budugutta <sb4788 at columbia.edu> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | simitation results |
| Reference manual: | simitation.pdf |
| Vignettes: |
Introduction_to_simitation Introduction_to_simitation_2 |
| Package source: | simitation_0.0.7.tar.gz |
| Windows binaries: | r-devel: simitation_0.0.7.zip, r-release: simitation_0.0.7.zip, r-oldrel: simitation_0.0.7.zip |
| macOS binaries: | r-release (arm64): simitation_0.0.7.tgz, r-oldrel (arm64): simitation_0.0.7.tgz, r-release (x86_64): simitation_0.0.7.tgz, r-oldrel (x86_64): simitation_0.0.7.tgz |
| Reverse imports: | nRegression |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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